Dana Rezazadegan

21 papers and 644 indexed citations i.

About

Dana Rezazadegan is a scholar working on Artificial Intelligence, Health Information Management and Health Informatics. According to data from OpenAlex, Dana Rezazadegan has authored 21 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Health Information Management and 4 papers in Health Informatics. Recurrent topics in Dana Rezazadegan’s work include Artificial Intelligence in Healthcare and Education (4 papers), Topic Modeling (4 papers) and Electronic Health Records Systems (4 papers). Dana Rezazadegan is often cited by papers focused on Artificial Intelligence in Healthcare and Education (4 papers), Topic Modeling (4 papers) and Electronic Health Records Systems (4 papers). Dana Rezazadegan collaborates with scholars based in Australia, China and United States. Dana Rezazadegan's co-authors include Enrico Coiera, Juan C. Quiroz, Shlomo Berkovsky, A. Baki Kocaballı, Liliana Laranjo, Farid Sheikholeslam, Huong Ly Tong, Abbas Chatraei, Khoshnam Shojaei and Xiaochun Cao and has published in prestigious journals such as American Journal of Public Health, Journal of Medical Internet Research and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Dana Rezazadegan i

Fields of papers citing papers by Dana Rezazadegan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana Rezazadegan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dana Rezazadegan. The network helps show where Dana Rezazadegan may publish in the future.

Countries citing papers authored by Dana Rezazadegan

Since Specialization
Citations

This map shows the geographic impact of Dana Rezazadegan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dana Rezazadegan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Rezazadegan more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025